CAREER: Evolution of Morphological Diversity in Primates as revealed by 3D Digital Data, Comprehensive Datasets, and Automated Phenotyping
CAREER: Evolution of Morphological Diversity in Primates as revealed by 3D Digital Data, Comprehensive Datasets, and Automated Phenotyping
批准号:
1552848
负责人:
Douglas Boyer
金额:
$49.81万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-06-01 至 2023-05-31
中文摘要
在这个CAREER奖项中,Doug Boyer博士与合作者沿着,将以博物馆标本的3D数字图像的形式收集灵长类动物骨骼的数据,并应用新开发的算法方法来分析和解释这些数据的进化意义。这项研究将解决有关现代灵长类动物多样性如何形成的基本问题,致力于完善对人类与其最近亲属区分的渐进过程的理解。作为这项研究的结果,三维数字模型将被添加到杜克?www.morphosource.org他的团队正在开发的生物信息学分析工具将使研究人员能够分析和解释关于解剖学多样性的几何复杂方面的数据。Boyer将同时与教育科学家合作,以强调STEM学习和下一代科学标准的方式将这个虚拟博物馆与教育工作者和学生联系起来。此外,虚拟博物馆--向任何科学家开放--将提供一个论坛,研究人员可以很容易地传播他们的数据在Boyer的5年项目中,他将执行针对灵长类动物如何进化的核心假设的研究:1)饮食生态学对灵长类动物特征的影响:牙齿几何形状的机械特性将被量化,它们的进化克里思和模式将在活的和化石灵长类动物中被建模,以了解昆虫或草本材料的饮食是否推动了多样化的各种事件。研究小组还将通过评估所有感兴趣的特征之间的协变模式来评估灵长类骨骼的某些其他独特特征是否与饮食需求或其他生物学作用有关。2)功能约束对进化模式的影响:Boyer和他的团队将通过分析比较灵长类动物骨骼不同区域之间的变化幅度和模式,确定祖先灵长类动物生态问题的解剖学解决方案如何影响随后的多样化路径。这个项目将贡献多项研究,为测试进化假说引入一个新的范式。此外,它创建了一个新的生物信息学基础设施,使形态数据集的访问民主化,并使更广泛的研究人员社区能够分析这些数据,为同步形态学研究与基因组研究奠定基础,并最终最大限度地提高利用形态学研究的解释力,以深入了解进化过程。 特别是,分子和进化发育生物学家将能够评估与遗传和基因表达数据相关的形态变异的意义,生物医学工程师将能够自动化测量方案,并更快速有效地评估数据中的变异。
英文摘要
In this CAREER award Dr. Doug Boyer, along with collaborators, will collect data on primate skeletons in the form of 3D digital imagery of museum specimens and apply newly developed algorithmic methods to analyze and interpret the evolutionary meaning of those data. This research will address fundamental questions about how modern primate diversity came to be, work to refine understanding of the incremental processes that differentiated humanity from its closest relatives. As a result of this research 3D digital models will be added to Duke?s virtual museum (www.morphosource.org), which is accessible to all researchers and the public; the bioinformatics analysis tools his team is developing will enable researchers to analyze and interpret data on geometrically complex aspects anatomical diversity. Boyer will simultaneously work with education scientists connecting this virtual museum to educators and students in ways that emphasize STEM learning and Next Generation Science Standards. In addition, the virtual museum -- open to contributions from any scientist -- will provide a forum where researchers can easily disseminate their data (and theoretical advances stemming from it) to educators and public.In Boyer's 5-year project he will execute studies targeting hypotheses central to perceptions of how primates evolved: 1) Influence of dietary ecology on primate characteristics: mechanical properties of tooth geometry will be quantified and their evolutionary tempo and mode will be modeled across living and fossil primates to see whether a diet of insects or herbaceous material has driven various episodes of diversification. The team will also evaluate whether certain other distinctive features of primate skeletons can be related to dietary needs or other biological roles by assessing patterns of covariation among all traits of interest. 2) Influence of functional constraints on patterns of evolution: Boyer and his team will determine how anatomical solutions to ecological problems in ancestral primates have affected subsequent paths of diversification by running analyses that compare magnitudes and patterns of variation among different regions of the skeleton across primates. This project will contribute multiple studies introducing a new paradigm for testing evolutionary hypotheses. Additionally, it creates a novel bioinformatics infrastructure that democratizes access to morphological datasets and enables a broader community of researchers to analyze such data, setting the stage for synchronizing morphological studies with genomic ones, and will ultimately maximizing the explanatory power of research utilizing morphology to gain insight on evolutionary processes. In particular, molecular and evolutionary-developmental biologists will be able to evaluate the significance of morphological variation associated with genetic and gene-expression data, and biomedical engineers will be able to automate measurement protocols and evaluate variation in their data more rapidly and efficiently.
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依托单位:
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